Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Artificial Neural Network (ANN) design is a complex task because its performance depends on the architecture, the selected transfer function, and the learning algorithm used to train the set of synaptic weights. In this paper we present a methodology that automatically designs an ANN using particle swarm optimization algorithms such as Basic Particle Swarm Optimization (PSO), Second Generation of ...
HEPNet is an electronic representation of metabolic reactions occurring within human cellular organization focusing on inflow and outflow of the energy currency ATP, GTP and other energy associated moieties. The backbone of HEPNet consists of primary bio-molecules such as carbohydrates, proteins and fats which ultimately constitute the chief source for the synthesis and obliteration of energy curr...
OBJECTIVE: To analyse the continence outcomes of robot-assisted radical prostatectomy (RARP) in suboptimal patients that have challenging continence r...
The notion of an optimal difficulty during practice has been articulated in many areas of cognitive psychology: flow theory, the challenge point frame...
A 1-DoF robot is designed and fabricated to be used for knee rehabilitation training. The mechanism (robot) is designed to perform specific set of exe...
BACKGROUND: Geographical location, socioeconomic status, and logistics surrounding transportation impede access of poststroke individuals to comprehen...
Vascular dementia (VaD) is a general term describing problems with reasoning, planning, judgment, memory, and other thought processes caused by brain ...
The purpose of this study was to report the outcomes of a series of patients who underwent hand-assisted laparoscopy surgery for benign giant pelvic m...
BACKGROUND: Bodyweight related measures (weight, height, BMI, abdominal circumference) are extremely important for clinical care, research and quality...
It is unclear how the variability of kinematic errors experienced during motor training affects skill retention and motivation. We used force fields p...
OBJECTIVE: Morbid obesity is a known risk factor for the development of endometrial cancer. Several studies have demonstrated the overall feasibility ...
BACKGROUND: Minimally invasive surgery (MIS) has emerged as a treatment of choice for early-stage gastric cancer. However, applying MIS to gastric pat...
OBJECTIVES: The aim of this study was to better characterize the moderate intensity of PA among children by applying fuzzy logic as the most appropria...
OBJECTIVE: To assess the effectiveness of robotically assisted body weight supported treadmill training (RABWSTT) for improving cardiovascular fitness...
OBJECTIVE: In a previous study we demonstrated continuous translation, orientation and one-dimensional grasping control of a prosthetic limb (seven de...
INTRODUCTION: An increasing number of obese patients (body mass index [BMI] >30 kg/m(2)]) with localized prostate cancer are presenting as candidates ...
BACKGROUND: Robotic single-site cholecystectomy (RSSC) has been shown to be a safe alternative to the laparoscopic approach in selected patients. Pati...
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating the anti-obesity property of a potent medicinal plan...
Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical atherosclerosis. The aim of the study was to asse...
MOTIVATION: Experiments in animal models are often conducted to infer how humans will respond to stimuli by assuming that the same biological pathways...